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ISE 726 Theory of Activity Networks
Introduction to graph theory and network theory. In-depth discussion of theory underlying (1) deterministic activity networks (CPM): optimal time-cost trade offs; the problem of scarce resources; (2) probabilistic activity networks (PERT): critical evaluation of underlying assumptions; (3) generalized activity networks (GERT, GAN): applications of signal flow graphs and semi-Markov process to probabilistic branching; relation to the theory of scheduling.
Prerequisite: °¿¸éÌý501, OR(IE,MA) 505
Typically offered in Spring only
This course is offered alternate years